The platform constraint is what makes this interesting.
Start by clarifying the goal and defining watch time on TV devices, then segment the TV user base to identify high-impact opportunities. Prioritize ideas based on impact and feasibility, and outline how you would measure success and iterate.
Pro tip: Anchor your answer in Netflix's business model—subscription revenue tied to engagement and retention—so growth in watch time directly supports retention. Also, consider TV-specific constraints like remote navigation and lean-back viewing to show deep product sense.
Ask clarifying questions to understand the scope: what counts as TV devices (smart TVs, streaming sticks, consoles), what 'watch time' means (total hours, per user, per session), and any constraints (e.g., content licensing, UI limitations).
Break down TV users into meaningful segments (e.g., new vs. returning, binge-watchers vs. casual viewers, solo vs. group viewing) to identify which segments have the most potential for increasing watch time.
For each segment, pinpoint friction points that reduce watch time (e.g., difficulty finding content, slow load times, poor recommendations) and brainstorm features or improvements to address them.
Use a prioritization framework (e.g., impact vs. effort, RICE) to rank ideas. Consider factors like potential watch time lift, development cost, and alignment with Netflix's strategy.
Outline how you would measure success (e.g., average watch time per TV user, session length, retention) and propose an A/B test or pilot to validate the top idea.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.